CY Harry Yang (@leehomyc) 's Twitter Profile
CY Harry Yang

@leehomyc

web3 x AI. True believer of web 3 and the power of community. @everlyn_ai. Prof. @hkust. chief tech @nesaorg.

ID: 19667431

linkhttp://leehomyc.github.io calendar_today28-01-2009 18:41:06

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Everlyn (@everlyn_ai) 's Twitter Profile Photo

Community-first. Mission complete. 🌀 Our raise on Kaito AI 🌊 Capital Launchpad did nearly 3x the target. This was only possible because of you. The dreamers who showed up and made it real. Kaito will soon share the final results and confirm allocations for those who

CY Harry Yang (@leehomyc) 's Twitter Profile Photo

Gm! Such a beautiful video created by our community using Everlyn. My everyday AI tools are ChatGPT, notion, gamma, and Everlyn. How about yours?

CY Harry Yang (@leehomyc) 's Twitter Profile Photo

🤔 Wonder how to edit object shapes without masks or fine-tuning? Our recent work Follow-Your-Shape builds on pre-trained diffusion models to deliver a training-free, mask-free pipeline: - Trajectory Divergence Maps (TDM) to localize shape edits - Scheduled KV Injection to

🤔 Wonder how to edit object shapes without masks or fine-tuning?

Our recent work Follow-Your-Shape builds on pre-trained diffusion models to deliver a training-free, mask-free pipeline:

- Trajectory Divergence Maps (TDM) to localize shape edits
- Scheduled KV Injection to
Sui (@suinetwork) 's Twitter Profile Photo

Everlyn’s AI video platform is now powered by the Sui Stack ⚡ - Walrus - data layer for 5,000+ clips & onchain training - Sui - fast, reliable payments Decentralized AI, leveled up by Sui.

CY Harry Yang (@leehomyc) 's Twitter Profile Photo

The wait is over at Everlyn.ai! We’ve upgraded our infra and optimized the model, greatly reducing user wait times, even as website traffic and community excitement keep growing. 🚀

机器之心 JIQIZHIXIN (@synced_global) 's Twitter Profile Photo

Interesting! Hai Huang, Yann LeCun , and Randall Balestriero have just proposed LLM-JEPA. It's the first JEPA-style training framework for language models, bridging the gap between vision’s embedding-space objectives and NLP’s generative ones. Results: - Outperforms standard LLM

Interesting! Hai Huang, <a href="/ylecun/">Yann LeCun</a> , and <a href="/randall_balestr/">Randall Balestriero</a> have just proposed LLM-JEPA.

It's the first JEPA-style training framework for language models, bridging the gap between vision’s embedding-space objectives and NLP’s generative ones.

Results:

- Outperforms standard LLM
CY Harry Yang (@leehomyc) 's Twitter Profile Photo

Super exciting launch, but this is only the beginning of something much larger. Our roadmap ahead is packed with stronger and faster foundation models, highly requested AI features, and deep collaborations with top universities and research labs. We’re building toward a long-term